Determining the contributions of urbanisation and climate change to NPP variations over the last decade in the Yangtze River Delta, China

被引:140
作者
Wu, Shaohua [1 ]
Zhou, Shenglu [1 ]
Chen, Dongxiang [2 ]
Wei, Zongqiang [1 ]
Dai, Liang [1 ]
Li, Xingong [3 ]
机构
[1] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Univ, Sch Jinling, Nanjing 210089, Jiangsu, Peoples R China
[3] Univ Kansas, Dept Geog, Lawrence, KS 66045 USA
基金
中国国家自然科学基金;
关键词
NPP; Urbanisation; Climate change; Relative contributions; Yangtze River Delta; NET PRIMARY PRODUCTIVITY; NDVI TIME-SERIES; NIGHTTIME LIGHT DATA; USE EFFICIENCY; RELATIVE ROLE; VEGETATION; IMPACT; DYNAMICS; DESERTIFICATION; REGION;
D O I
10.1016/j.scitotenv.2013.10.128
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Terrestrial net primary production (NPP) is an important measure of global change, and identifying the relative contributions of urbanisation and climate change to NPP is important for understanding the impact of human and natural influences on terrestrial systems and the carbon cycle. The objective of this study was to reveal how urbanisation and climate drive changes in NPP. Satellite-based estimates of NPP collected over a 12-year period (1999-2010) were analysed to identify NPP variations in the Yangtze River Delta. Temporal and spatial analysis methods were used to identify the relationships among NPP, nighttime light urbanisation index values, and climatic factors from pixel to regional scales. The NPP of the entire Yangtze River Delta decreased slightly at a rate of -0.5 g C m(-2) a(-1) from 1999 to 2010, but this change was not significant. However, in the urban region, NPP decreased significantly (p < 0.05) at a rate of -4.7 g C m(-2) a(-1) due to urbanisation processes. A spatially explicit method was proposed to partition the relative contributions of urbanisation and climate change to NPP variation. The results revealed that the urbanisation factor is the main driving force for NPP change in high-speed urbanisation areas, and the factor accounted for 47% of the variations. However, in the forest and farm regions, the NPP variation was mainly controlled by climate change and residual factors. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:397 / 406
页数:10
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